Average Error: 0.0 → 0.0
Time: 1.0s
Precision: binary64
\[x - \frac{y}{200} \]
↓
\[x - \frac{y}{200} \]
(FPCore (x y) :precision binary64 (- x (/ y 200.0)))
↓
(FPCore (x y) :precision binary64 (- x (/ y 200.0)))
double code(double x, double y) {
	return x - (y / 200.0);
}
↓
double code(double x, double y) {
	return x - (y / 200.0);
}

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = x - (y / 200.0d0)
end function
↓
real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = x - (y / 200.0d0)
end function

public static double code(double x, double y) {
	return x - (y / 200.0);
}
↓
public static double code(double x, double y) {
	return x - (y / 200.0);
}

def code(x, y):
	return x - (y / 200.0)
↓
def code(x, y):
	return x - (y / 200.0)

function code(x, y)
	return Float64(x - Float64(y / 200.0))
end
↓
function code(x, y)
	return Float64(x - Float64(y / 200.0))
end

function tmp = code(x, y)
	tmp = x - (y / 200.0);
end
↓
function tmp = code(x, y)
	tmp = x - (y / 200.0);
end

code[x_, y_] := N[(x - N[(y / 200.0), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_] := N[(x - N[(y / 200.0), $MachinePrecision]), $MachinePrecision]

x - \frac{y}{200}
↓
x - \frac{y}{200}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[x - \frac{y}{200} \]

  2. Final simplification0.0

    \[\leadsto x - \frac{y}{200} \]

Reproduce

herbie shell --seed 2022150 
(FPCore (x y)
  :name "Data.Colour.CIE:cieLAB from colour-2.3.3, D"
  :precision binary64
  (- x (/ y 200.0)))